Compatibility of the BATSE gamma-ray burst data with general Friedmann cosmological models

1994 ◽  
Vol 435 ◽  
pp. 16 ◽  
Author(s):  
A. Gordon Emslie ◽  
John M. Horack
Keyword(s):  
Gamma Ray ◽  
Cosmological Models ◽  
Gamma Ray Burst ◽  
Burst Data ◽  
Friedmann Cosmological Models

A search for luminosity-spectral hardness correlations in SIGNE gamma-ray burst data

1991 ◽  
Author(s):  
Vincent E. Kargatis ◽  
Edison P. Liang ◽  
Kevin C. Hurley
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Burst ◽  
Burst Data

scholarly journals A Principal Component Analysis of the 3B Gamma‐Ray Burst Data

1998 ◽  
Vol 498 (1) ◽  
pp. 342-348 ◽  
Author(s):  
Z. Bagoly ◽  
A. Meszaros ◽  
I. Horvath ◽  
L. G. Balazs ◽  
P. Meszaros
Keyword(s):  
Principal Component Analysis ◽  
Gamma Ray ◽  
Principal Component ◽  
Component Analysis ◽  
Gamma Ray Burst ◽  
Burst Data

scholarly journals Importance of the High Energy Channel for the Gamma-Ray Burst Data

1998 ◽  
Vol 188 ◽  
pp. 461-462
Author(s):  
A. Mészáros ◽  
Z. Bagoly ◽  
L. G. Balázs ◽  
I. Horváth ◽  
P. Mészáros
Keyword(s):  
Gamma Ray ◽  
High Energy ◽  
Statistical Information ◽  
Initial Number ◽  
Data Bases ◽  
Energy Channel ◽  
Gamma Ray Burst ◽  
Peak Flux ◽  
Burst Data ◽  
Energy Channels

Extensive data bases on Gamma-Ray Burst (GRB) properties such as the BATSE 3B catalog (Meegan et al. 1996) contain a wealth of statistical information. The nine entries of the 3B database for each GRB consist of two durations, T50, T90, which contain 50% and 90% of the burst energy, respectively; four fluences (time-integrated energy fluxes) F1, F2, F3, F4, defined over different energy channels; and three measures of the peak flux (each summed over the four energy channels), measured over three different resolution timescales (64 ms, 256 ms and 1024 ms). Thus the initial number of variables is n = 9. There is, of course, some incompleteness in the catalog. There are 625 GRBs having all 9 non-zero quantities, and only they are considered here.

Survival Analysis of the Gamma-Ray Burst Data

1994 ◽  
Vol 89 (426) ◽  
pp. 452-462 ◽  
Author(s):  
Bradley Efron ◽  
Vahé Petrosian
Keyword(s):  
Survival Analysis ◽  
Gamma Ray ◽  
Gamma Ray Burst ◽  
Burst Data

The Synchrotron Shock Model Confronts a “Line of Death” in the BATSE Gamma-Ray Burst Data

1998 ◽  
Vol 506 (1) ◽  
pp. L23-L26 ◽  
Author(s):  
R. D. Preece ◽  
M. S. Briggs ◽  
R. S. Mallozzi ◽  
G. N. Pendleton ◽  
W. S. Paciesas ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Shock Model ◽  
Gamma Ray Burst ◽  
Burst Data

scholarly journals Robust constraint on Lorentz violation using Fermi-LAT gamma-ray burst data

2019 ◽  
Vol 99 (8) ◽  
Author(s):  
John Ellis ◽  
Rostislav Konoplich ◽  
Nikolaos E Mavromatos ◽  
Linh Nguyen ◽  
Alexander S. Sakharov ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Lorentz Violation ◽  
Gamma Ray Burst ◽  
Burst Data

scholarly journals Importance of the High Energy Channel for the Gamma-Ray Burst Data

1998 ◽  
pp. 461-462
Author(s):  
A. Mészáros ◽  
Z. Bagoly ◽  
L. G. Balázs ◽  
I. Horváth ◽  
P. Mészáros
Keyword(s):  
Gamma Ray ◽  
High Energy ◽  
Energy Channel ◽  
Gamma Ray Burst ◽  
Burst Data

scholarly journals The Compatibility of Friedmann Cosmological Models with Observed Properties of Gamma‐Ray Bursts and a Large Hubble Constant

1996 ◽  
Vol 472 (1) ◽  
pp. 25-33 ◽  
Author(s):  
John M. Horack ◽  
Thomas M. Koshut ◽  
Robert S. Mallozzi ◽  
A. Gordon Emslie ◽  
Charles A. Meegan
Keyword(s):  
Gamma Ray ◽  
Hubble Constant ◽  
Cosmological Models ◽  
Gamma Ray Bursts ◽  
Friedmann Cosmological Models

scholarly journals Introduction to gamma-ray burst data analysis algorithm and software tools for GECAM

2020 ◽  
Vol 50 (12) ◽  
pp. 129511
Author(s):  
ShiJie ZHENG ◽  
Yue HUANG ◽  
XinYing SONG ◽  
WenXi PENG ◽  
Kai ZHANG ◽  
...  
Keyword(s):  
Data Analysis ◽  
Gamma Ray ◽  
Software Tools ◽  
Gamma Ray Burst ◽  
Analysis Algorithm ◽  
Burst Data
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